Atrapalo

Total investments

1

Average round size

1M

Portfolio companies

1

Rounds per year

0.05

Exits

1

Areas of investment
E-CommerceEventsTicketing

Summary

Atrapalo appeared to be the Corporate Investor, which was created in 2000. The fund was located in Europe if to be more exact in Spain. The leading representative office of defined Corporate Investor is situated in the Barcelona.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - Spain. Among the most successful fund investment fields, there are Events, Ticketing. Among the most popular portfolio startups of the fund, we may highlight ticketea. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund.

The high activity for fund was in 2010. Deals in the range of 1 - 5 millions dollars are the general things for fund. The higher amount of exits for fund were in 2018. The fund is generally included in less than 2 deals every year.

The usual cause for the fund is to invest in rounds with 3 partakers. Despite the Atrapalo, startups are often financed by Jaime Diaz. The meaningful sponsors for the fund in investment in the same round are Jose Manuel Martinez Sanchez, Jaime Diaz. In the next rounds fund is usually obtained by Seaya Ventures.

This organization was formed by Marek Fodor.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Exits
1
Rounds per year
0.05
Investments by industry
  • E-Commerce (1)
  • Ticketing (1)
  • Events (1)
Investments by region
  • Spain (1)
Peak activity year
2010

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Quantitative data

Avg. startup age at the time of investment
12
Avg. company exit year
9

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ticketea 01 Dec 2010 E-Commerce, Events, Ticketing Early Stage Venture 1M Spain, Madrid, Community of Madrid
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At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.